Tag: AI
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AI Model Predicts Language Development in Children with Hearing Loss
An advanced machine learning model predicted spoken language outcomes in children who received cochlear implants more accurately than traditional machine learning approaches, according to a recent Northwestern Medicine-led international multi-center study.
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AI Model May Improve RNA Sequencing Research
Scientists in the laboratory of Rendong Yang, PhD, have developed a new large language model that can interpret transcriptomic data in cancer cell lines more accurately than conventional approaches, as detailed in a recent study published in Nature Communications.
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AI Models Predict Sepsis in Children, May Enable Preemptive Care
Northwestern scientists have developed and validated AI models that accurately identify children at high risk for sepsis within 48 hours, so they can receive early preemptive care.
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New ‘Molecular GPS’ Will Fast-Track Drug Discovery
Scientists at Northwestern University have developed the largest open-access resource of its kind to help investigators shave off months of early-stage drug development time, detailed in research published in Science Advances.
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Novel AI Model May Enhance Health Data Interoperability
An AI model developed by Northwestern Medicine investigators improved the transformation of EHR data into standardized health resources more efficiently than current methods, according to a recent study published in journal NEJM AI.
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Setting International Standards for Diagnosing Pediatric Sepsis
A large international team led by a Northwestern Medicine investigator has established new standardized diagnostic criteria for pediatric sepsis, according to two related studies published in JAMA.
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Developing Deep Learning Models to Understand the Human Genome
Northwestern Medicine scientists have developed a deep learning algorithm accelerating research around diseases and disorders that occur when the process of DNA transcription goes awry.
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AI May Spare Breast Cancer Patients Unnecessary Treatments
A new AI tool may make it possible to spare breast cancer patients unnecessary chemotherapy treatments by using a more precise method of predicting their outcomes, reports a new Northwestern Medicine study published in Nature Medicine.
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Student Investigates AI Solutions to Medical ‘Loose Ends’
Roger Smith, an eighth-year student in Feinberg’s Medical Scientist Training Program, is developing an artificial intelligence tool to tie up medical loose ends identified in electronic health records.
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Developing Custom AI Language Models to Interpret Chest X-Rays
Northwestern Medicine scientists have developed an artificial intelligence (AI) tool able to interpret chest X-rays with accuracy rivalling that of a human radiologist, according to findings published in JAMA Network Open.
